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ImplantBench: Characterizing and Projecting Representative Benchmarks for Emerging Bioimplantable Computing

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2 Author(s)
Zhanpeng Jin ; Univ. of Pittsburgh, Pittsburgh, PA ; Cheng, A.C.

Healthcare will advance dramatically when micro- and nanoscale computing chips, implanted in the human body, can assist digitally in clinical diagnosis and therapy. To design and engineer the necessary processor and accelerator architectures, computer architects must first understand the current and potential workloads. ImplantBench, the first attempt at a representative workload taxonomy, includes realistic, full-blown workloads spanning security, reliability, bioinformatics, genomics, physiology, and heart activity.

Published in:

Micro, IEEE  (Volume:28 ,  Issue: 4 )